Combining Auction Turnover and Three Technical Crossovers for Stock Selection

Summary

This stock-selection proposal screens Chinese A-share listings in the metaverse industry, ranks them by the day’s opening-auction amount, and selects those with simultaneous bullish crossovers in MACD, KDJ, and RSI. The text gives example indicator settings and describes crossover conditions, including RSI moving above 30. It also includes an illustrative Python workflow using daily data and technical-analysis calculations, though its implementation does not clearly match the stated auction-amount ranking: the shown code sorts by circulating market capitalization instead.

The rationale is that combining several indicators may reduce reliance on any one signal. The article itself flags risks: crossovers can occur at different times and lag, parameter choices affect results, and the method may not suit short-term traders. It recommends considering fundamentals and market regimes, and optimizing parameters with historical data. No performance results or completed backtest are provided, so the strategy’s effectiveness is unverified. The screening logic is a proposal rather than evidence of a profitable trading system.

Key ideas

• The screen focuses on metaverse stocks listed on the Shanghai or Shenzhen exchanges.
• Candidates are ranked by opening-auction traded amount, with the stated selection limited to the top five.
• A stock must also show bullish MACD, KDJ, and RSI crossover conditions to qualify.
• The article warns that crossover timing, indicator parameters, and market regime can affect signals.
• The sample Python workflow sorts by circulating market capitalization, which differs from the stated auction-amount ranking.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.